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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">economyprom</journal-id><journal-title-group><journal-title xml:lang="ru">Экономика промышленности / Russian Journal of Industrial Economics</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Journal of Industrial Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2072-1633</issn><issn pub-type="epub">2413-662X</issn><publisher><publisher-name>MISIS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17073/2072-1633-2024-4-1369</article-id><article-id custom-type="elpub" pub-id-type="custom">economyprom-1369</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Экономика знаний</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Knowledge economy</subject></subj-group></article-categories><title-group><article-title>Индустрия 6.0:  сущность, тенденции и стратегические возможности для России</article-title><trans-title-group xml:lang="en"><trans-title>Industry 6.0:  the essence, trends and strategic opportunities for Russia</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0941-6358</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бабкин</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Babkin</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Александр Васильевич Бабкин – д-р экон. наук, профессор, научный руководитель лаборатории «Цифровая экономика промышленности»</p><p>195251, Санкт-Петербург, ул. Политехническая, д. 29, литера Б</p></bio><bio xml:lang="en"><p>Aleksandr V. Babkin – Dr.Sci. (Econ.), Professor, Scientific Director of the Laboratory “Digital Economics of Industry”</p><p>29B Polytechnicheskaya Str., St. Petersburg 195251</p></bio><email xlink:type="simple">al-vas@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3644-4239</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шкарупета</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Shkarupeta</surname><given-names>E. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Елена Витальевна Шкарупета – д-р экон. наук, профессор, профессор кафедры цифровой и отраслевой экономики</p><p>394071, Воронеж, ул. 20-летия Октября, д. 84</p></bio><bio xml:lang="en"><p>Elena V. Shkarupeta – Dr.Sci. (Econ.), Professor, Professor of the Department of the Digital andIndustrial Economics</p><p>84 20-letiya Oktyabrya Str., Voronezh 394071</p></bio><email xlink:type="simple">9056591561@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Санкт-Петербургский политехнический университет Петра Великого</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Peter the Great St. Petersburg Polytechnic University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Воронежский государственный технический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Voronezh State Technical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>26</day><month>10</month><year>2024</year></pub-date><volume>17</volume><issue>4</issue><fpage>353</fpage><lpage>377</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Бабкин А.В., Шкарупета Е.В., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Бабкин А.В., Шкарупета Е.В.</copyright-holder><copyright-holder xml:lang="en">Babkin A.V., Shkarupeta E.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ecoprom.misis.ru/jour/article/view/1369">https://ecoprom.misis.ru/jour/article/view/1369</self-uri><abstract><p>В статье представлены результаты систематического исследования Индустрии 6.0, которая представляет собой будущий этап промышленного развития, характеризующий интеллектуально-технологической иммерсивной гиперсвязанностью и физико-когнитивно-эмоциональным слиянием виртуальных (превосходящих цифровые) двойников человека и машин. Проведен литературный обзорный синтез суще- ствующих определений Индустрии 6.0, предложено авторское определение и концепт, систематизированы ключевые технологии по шести исследовательским проекциям: интеллектуальная автоматизация, устойчивое развитие, человеко-машинное взаимодействие, информационные технологии и кибербезопасность, машинное обучение, управление человеческими ресурсами. Особое внимание уделено отличительным характеристикам Индустрии 6.0 по сравнению с Индустриями 4.0 и 5.0. В Индустрии 6.0 происходит вездесущное слияние виртуальных двойников человека и машин, что позволяет реализовывать ультраперсонализированное производство и создавать эмоционально-интеллектуальные экосистемы, в том числе с  помощью квантовых технологий. Обсуждаются возможности реализации Индустрии 6.0 в России на основе национальных стратегий по экономике данных, технологическому суверенитету и  программе «Технет» Национальной технологической инициативы. Ограничения исследования связаны с футуристическим характером концепции Индустрии 6.0, отсутствием достаточной эмпирической базы и ограниченным количеством актуальных научных публикаций. Направления дальнейших исследований могут включать разработку практических моделей для интеграции интеллектуальных экосистем Индустрии 6.0 в российские производственные и технологические секторы. Особое внимание следует уделить разработке методик оценки экономического и социально-го эффекта от внедрения ключевых технологий, таких как мультиагентные системы, квантовые вычисления и эмоциональный интеллект машин, а также исследованию путей их адаптации в рамках национальных стратегий технологического суверенитета и экономики данных.</p></abstract><trans-abstract xml:lang="en"><p>The article presents the results of a systematic study of Industry 6.0 which is the future stage of industrial development characterized by intelligent and technological immersive hyperconnection and physical-cognitive-emotional fusion of virtual (superior to digital) twins of humans and machines. The authors carry out a literary review synthesis of the existing defi nitions of Industry 6.0, suggest the authors’ defi nition and concept, systematize key technologies by six research projections: intelligent automation, sustainable development, human-machine interaction, information technologies and cybersecurity, machine learning, human resource management. Special attention is paid to the distinctive features of Industry 6.0 compared to Industries 4.0 and 5.0. Industry 6.0 involves the ubiquitous fusion of virtual twins of humans and machines that allows implementing ultrapersonalized production and create emotionally intelligent ecosystems, often with the help of quantum technologies. The authors discuss the opportunities of implementing Industry 6.0 in Russia basing on the national strategies on the data economics, technological sovereignty and the ‘Technet’ program of the National Technological Initiative. The limitations of the study are connected with the futuristic nature of Industry 6.0 concept, lack of suffi cient empiric base and limited amount of relevant scientifi c publications. The directions of further research may include development of practical models for the integration of intelligent ecosystems of Industry 6.0 into Russian production and technology sectors. Special attention should be paid to the development of the methods for assessment of economic and social effect from the implementation of the key technologies such as multiagent systems, quantum computing and the emotional intelligence of machines as well as to the study of the ways of their adaptation within the national strategies of technological sovereignty and the economics of data.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Индустрия 4.0</kwd><kwd>Индустрия 5.0</kwd><kwd>Индустрия 6.0</kwd><kwd>интеллектуальная экономика</kwd><kwd>интеллектуальная экосистема</kwd><kwd>промышленный футуризм</kwd><kwd>технологический суверенитет</kwd><kwd>устойчивое развитие</kwd><kwd>виртуальный двойник</kwd><kwd>экономика данных</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Industry 4.0</kwd><kwd>Industry 5.0</kwd><kwd>Industry 6.0</kwd><kwd>intelligent economics</kwd><kwd>intelligent ecosystem</kwd><kwd>industrial futurism</kwd><kwd>technological sovereignty</kwd><kwd>sustainable development</kwd><kwd>virtual twin</kwd><kwd>economics of data</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнена при поддержке Российского научного фонда (проект  № 23-28-01316).</funding-statement><funding-statement xml:lang="en">The study has been carried out at the expense of the Russian Scientifi c  Foundation (project No. 23-28-01316).</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Babkin Al., Alekseeva N., Shkarupeta E., Makhmudova G. 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